Bot traffic: royallswindmill.com

all sites · all domains · last 15 days

All sites · All Domains · Visit royallswindmill.com

Who is really visiting royallswindmill.com?

Between Oct 23 and Nov 6, royallswindmill.com received 7,834 requests. About 98% came from automated software and about 1.2% look like real people.

That works out to about 40 human visitors, roughly 3 a day, who opened 55 pages between them. 11 of them read more than one page.

The biggest source is scanners hunting for security holes. They try the same list of common weak spots on every site they find.

Bottom line: the hit counts on the All Domains worksheet are almost entirely bots. Use the human visitor figure here to judge this site's real audience.

98%of requests from bots
40human visitors (estimate)
55pages opened by people
7,834total requests, 15 days

Where the requests came from

People 1.2%Named bots 20%Disguised bots 19%Scanners 59%Unclear 1.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02505007501,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 7,834ShareData sentBlockedby the serverWhat this means
Break-in scanners3,81249%39 MB0Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers1,32217%14 MB0Claims to be a normal browser but only downloads pages, never the images or icons a real browser fetches, reads many pages without ever clicking a link, or runs from a cloud provider.
Scanners posing as browsers7729.9%8 MB3Other requests from an address also caught probing for weak spots.
Search engines5206.6%6 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots4565.8%4 MB0Any other software that identifies itself as a bot.
AI crawlers4265.4%1 MB0AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1802.3%<1 MB1Commercial tools that sell data about websites.
Scripts and tools1602.0%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear941.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people771.0%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people150.2%<1 MB0Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers293
PetalBotSearch engines155
bingbotSearch engines124
GooglebotSearch engines81
Amzn-SearchBotSearch engines77
AhrefsBotSEO and marketing tools63
SemrushBotSEO and marketing tools53
OAI-SearchBotAI crawlers48
ExaSearchBotOther named bots45
GPTBotAI crawlers41
ElevenlabsCrawlerOther named bots40
QlyzeBotOther named bots36
SeznamBotSearch engines34
serpstatbotSEO and marketing tools33
SofyaBotOther named bots33

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/19
/windmills/5
/pump-house-manual/3
/luling/3
/lockhart/3
/san-marcos/2
/solar-pump-systems/2
/services/2
/luling-foundation-solar-well/2
/seguin/2
/line-shaft-turbines/2
/pump-station-update/2

How people arrived

Referring siteHuman visitors
www.google.com14
duckduckgo.com3
search.yahoo.com2
m.baidu.com1
www.bing.com1

Where disguised bots operate from

Address blocks, not individual addresses. A heavily used block with many addresses suggests one operator rotating through them.

Address blockRequestsAddresses used
192.42.0.0/1613021
185.220.0.0/164112
5.102.0.0/16272
171.25.0.0/16222
94.26.0.0/16201
43.166.0.0/161810
43.153.0.0/161815
104.28.0.0/161711

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 235782702961046996%
Oct 242268143349456799%
Oct 2535771023282154194%
Oct 2656145108291555997%
Oct 274411894395361798%
Oct 285911414314929392%
Oct 291117895345362399.2%
Oct 30221314814520296%
Oct 312295112760397499.3%
Nov 11412462175437098%
Nov 21111181695889799%
Nov 32210297534373999.2%
Nov 44490142176742197%
Nov 52392112181339398%
Nov 633557331616994%

How this was measured

Every request in the server log was sorted by what it did, not only what it claimed to be. Bots that name themselves are counted as named. Anything claiming to be a browser had to act like one: open a page, fetch its images or icons, move at human speed, and come from outside the big cloud providers. These are estimates. A careful bot can pass the test, and a person with images blocked or a cached icon can fail it, so read the human figures as a good approximation, not an exact count. One person using two devices counts as two visitors. Google Analytics-style tools would show different numbers because most bots never run their script. Logs are kept for 15 days.

Built 2026-11-06 22:41 UTC from 15 log files.